Issue
I have a csv file in the following format:
a | b | c | d | e |
---|---|---|---|---|
1 | 2 | 3 | 4 | 5 |
9 | 8 | 7 | 6 | 5 |
I want to convert this csv file to Nested JSON format, like this:
[{"a": 1,
"Purchase" : {
"b": 2,
"c": 3
"d": 4},
"Sales": {
"d": 4,
"e": 5}},
{"a": 9,
"Purchase" : {
"b": 8,
"c": 7},
"Sales": {
"d": 6,
"e": 5}}]
How can I make this transformation? I can't seem to figure out how to make this transformation in Python. Keep in mind this is only sample table, my real table has multiple columns and thousands on rows, so manual operations are not economical.
Till now I have tried this code:
with open("new_data.csv") as f:
reader = csv.DictReader(f)
for r in reader:
r["purchase"] = {"b": r['b'],
"c": r['c'],
}
Here I am trying unsuccessfully to add another key value pair of my required dictionary, but not successfully. Same thing I would have done with Sales
also but this is just sample.
Solution
A simple way is to add more columns; then use to_json
method in pandas:
import pandas as pd
df = pd.read_csv('your_file.csv')
df['Purchase'] = df[['b','c','d']].to_dict('records')
df['Sales'] = df[['d','e']].to_dict('records')
out = df[['a', 'Purchase', 'Sales']].to_json(orient='records', indent=4)
Output:
[
{
"a":1,
"Purchase":{
"b":2,
"c":3,
"d":4
},
"Sales":{
"d":4,
"e":5
}
},
{
"a":9,
"Purchase":{
"b":8,
"c":7,
"d":6
},
"Sales":{
"d":6,
"e":5
}
}
]
Answered By - user7864386 Answer Checked By - Gilberto Lyons (PHPFixing Admin)
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